Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:57:55
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wlb = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM EMIN=100 EMAX=90 ED=5 GSD=2 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR bodyweig
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:01.58

All the derivatives will be calculated numerically.




  Iteration Residual SS        EMIN        EMAX          ED         GSD

     0.3    6236.690577  100.000000  90.0000000  4.00000000  2.00000000
     1.1    6103.913692  97.3411405  86.4586154  3.81961213  3.44310293
     2.1    5326.658604  127.001964  54.4660189  2.26777680  15.8577856
     3.3    4793.456441  130.620940  57.0880767  2.03476230  17.7219016
     4.2    4757.574881  130.149873  64.0669954  .449668563  16.1983947
     5.2    4410.918136  129.227287  53.9755034  4.00000000  14.9300878
     6.2    3960.953928  121.448423  65.1189333  2.88151149  6.39190078
     7.1    3371.801515  119.601536  69.3865531  1.91535983  3.24043251
     8.3    3009.769471  120.010950  68.2509578  1.74350574  2.98782847
     9.3    2335.191423  125.522264  54.2333392  2.05724834  5.61629953
    10.2    2304.218277  125.727737  54.4438292  1.95702069  5.46500118
    11.1    2202.986925  124.809404  58.1160241  1.54698410  4.38250494
    12.1    2180.514023  123.206927  60.1554102  1.57027388  4.01656897
    13.2    1964.090915  107.771006  72.9371209  2.14987260  1.69710304
    14.1    1945.795885  107.197827  73.5306989  2.14500323  1.56555798
    15.2    1745.930217  107.280099  73.9016665  1.94607019  1.27698764
    16.1    1684.482243  106.302613  75.4487339  1.58622976  .856359425
    17.1    1665.685406  107.306038  73.2412966  1.72238023  1.48777294
    18.1    1619.141684  105.239067  76.6724474  1.76852726  .975767771
    19.1    1576.209294  106.219793  76.2495444  1.64819109  1.03025700
    20.1    1491.719202  105.028622  81.6913582  1.30225391  .489592984
    21.1    1475.627224  104.891177  82.8550243  1.27556384  .407855350
    22.1    1454.340371  105.081585  82.8477795  1.34058261  .466311508
    23.1    1451.461232  105.399649  82.8375725  1.32648810  .452914972
    24.1    1451.178278  105.310532  82.8748477  1.32845747  .443408302
    25.1    1451.164261  105.294830  82.8886745  1.32883793  .439075276
    26.1    1451.164159  105.295460  82.8878473  1.32891916  .438954627

Run stopped after 26 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BODYWEIG

  Source                 DF  Sum of Squares  Mean Square

  Regression              4   604573.66336   151143.41584
  Residual               59     1451.16416       24.59600
  Uncorrected Total      63   606024.82752

  (Corrected Total)      62     7128.50903

  R squared = 1 - Residual SS / Corrected SS =     .79643




                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  EMIN      105.29546018   .898945636 103.49667412 107.09424624
  EMAX      82.887847279  1.464886456 79.956616253 85.819078306
  ED         1.328919161   .097474028  1.133874082  1.523964240
  GSD         .438954627   .135019601   .168781029   .709128226

  Asymptotic Correlation Matrix of the Parameter Estimates

                EMIN      EMAX        ED       GSD

  EMIN        1.0000    -.0679    -.2774     .2910
  EMAX        -.0679    1.0000    -.4955    -.4480
  ED          -.2774    -.4955    1.0000     .1542
  GSD          .2910    -.4480     .1542    1.0000

Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  EMIN      105.295460   .7632271 103.781052 106.809868 104.106923 107.367567
  EMAX      82.8878473  3.9627897 75.0248129 90.7508817 74.0774653 85.9754920
  ED         1.3289192   .2528586   .8271929  1.8306454  1.1567065  2.0359093
  GSD         .4389546   .2978280  -.1520008  1.0299101   .1753348  1.1972963

  Bootstrap Correlation Matrix of the Parameter Estimates

                EMIN      EMAX        ED       GSD

  EMIN        1.0000    -.4818     .3600     .6657
  EMAX        -.4818    1.0000    -.8773    -.7796
  ED           .3600    -.8773    1.0000     .8180
  GSD          .6657    -.7796     .8180    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:57:57
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wlb = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1 GSD=1.14 EMIN=0.14 EMAX=0.03 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR thymus
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:02.00

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.2    .0367985510  1.00000000  1.14000000  .140000000  .030000000
     1.2    .0333504843  .999229846  1.14011474  .136468443  .018491284
     2.1    .0332655182  .998966013  1.14033309  .134776962  .019839783
     3.1    .0322022896  .925945032  1.18315626  .136970322  .020403500
     4.1    .0317796525  .858668677  1.20786263  .139443484  .025309958
     5.1    .0289600687  .337563451  1.37668022  .153099303  .027666512
     6.1    .0289358245  .330523491  1.38023688  .154490799  .027555605
     7.1    .0288851988  .313325366  1.38971889  .154708788  .029187456
     8.1    .0288721578  .306796484  1.41246043  .155403994  .028768803
     9.1    .0288454013  .290490124  1.50343173  .157976152  .026949052
    10.1    .0288437208  .288206539  1.52803345  .158679217  .026395617
    11.1    .0288436182  .287752429  1.53523909  .158886039  .026222259
    12.1    .0288436176  .287747017  1.53577113  .158901107  .026208295
    13.1    .0288436176  .287754956  1.53577821  .158901138  .026207922

Run stopped after 13 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable THYMUS

  Source                 DF  Sum of Squares  Mean Square

  Regression              4         .58807         .14702
  Residual               59         .02884   4.888749E-04
  Uncorrected Total      63         .61691

  (Corrected Total)      62         .13676

  R squared = 1 - Residual SS / Corrected SS =     .78909

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED          .287754956   .319885027  -.352333503   .927843416
  GSD        1.535778213   .573069941   .389067909  2.682488516
  EMIN        .158901138   .019137179   .120607732   .197194545
  EMAX        .026207922   .014355238  -.002516843   .054932687

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    -.2654    -.6241    -.1952
  GSD         -.2654    1.0000     .8648    -.8330
  EMIN        -.6241     .8648    1.0000    -.5876
  EMAX        -.1952    -.8330    -.5876    1.0000




Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED          .2877550   .7282641 -1.1572789  1.7327889 -2.0000000   .8486217
  GSD        1.5357782  5.1436301 -8.6702998 11.7418562   .7591798  4.4058556
  EMIN        .1589011   .1546123  -.1478832   .4656855   .1335911   .3512261
  EMAX        .0262079   .1416293  -.2548154   .3072312  -.0266890   .0365259

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    -.2823    -.4677     .2099
  GSD         -.2823    1.0000     .9776    -.9965
  EMIN        -.4677     .9776    1.0000    -.9608
  EMAX         .2099    -.9965    -.9608    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:57:59
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wlb = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1 GSD=.65 EMIN=44 EMAX=1600 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR erod
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.93

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.3    14941788.08  1.00000000  .650000000  44.0000000  1600.00000
     1.3    6892915.363  .946564056  1.52902128  604.684914  1694.59791
     2.3    6158690.709  1.31069543  1.34787345  550.503871  1931.09133
     3.1    5412495.607  1.18407925  1.25978505  514.257540  2122.42812
     4.3    4692111.379  .978346345  1.08004194  440.297423  2159.37137
     5.5    4426664.736  .888053209  1.10349089  426.949132  2219.72171
     6.2    4310666.622  1.60233603  2.00164818  328.951817  2800.61099
     7.2    2623012.323  -.56484844  .571293910  .000000000  1410.93274
     8.3    2394840.574  -.70027168  .488892041  .000000000  1272.68096
     9.2    2170866.577  -.56301403  .671107723  .000000000  1276.85909
    10.5    2167216.114  -.58508221  .663525434  .000000000  1257.58895
    11.1    2133777.351  -.55671431  .568919702  76.9032969  1241.12719
    12.1    2114733.293  -.55427112  .442128185  102.649031  1204.75440
    13.1    2111318.545  -.55064489  .473504461  78.0777622  1220.54974
    14.1    2110802.436  -.55022232  .465521946  84.8164052  1216.46569
    15.1    2110799.776  -.55055461  .464557517  84.9615128  1215.83070
    16.1    2110799.600  -.55034108  .464610140  85.0396278  1215.92873
    17.1    2110799.589  -.55037860  .464676605  85.0076919  1215.92843

Run stopped after 17 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable EROD

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  27767205.7917  6941801.44793
  Residual               36  2110799.58858    58633.32191
  Uncorrected Total      40  29878005.3803

  (Corrected Total)      39  11020155.8833

  R squared = 1 - Residual SS / Corrected SS =     .80846

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         -.550378599   .110106688  -.773685312  -.327071886
  GSD         .464676605   .155349386   .149613446   .779739763
  EMIN      85.007691942 81.985510428 -81.26662992 251.28201381
  EMAX      1215.9284279 77.197350256 1059.3649449 1372.4919108




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    -.0088     .4575     .4339
  GSD         -.0088    1.0000    -.4711     .5025
  EMIN         .4575    -.4711    1.0000    -.1375
  EMAX         .4339     .5025    -.1375    1.0000

Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED         -.5503786   .1885961  -.9245942  -.1761630  -.7275669  -.0505380
  GSD         .4646766   .2217124   .0247510   .9046022   .2468952  1.1345163
  EMIN      85.0076919 37.5607469 10.4790212 159.536363   .0000000 142.490339
  EMAX      1215.92843 249.004867 721.848750 1710.00811 1071.10391 1783.56045

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .7616    -.4442     .9413
  GSD          .7616    1.0000    -.8615     .8372
  EMIN        -.4442    -.8615    1.0000    -.5893
  EMAX         .9413     .8372    -.5893    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:58:00
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wlb = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1.46 GSD=.0385 EMIN=0.310 EMAX=0.435 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR ffa
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.94

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.2    8.600263213  1.46000000  .038500000  .310000000  .435000000
     1.4    4.050060074  1.44374198  .038018637  .552291117  .742313619
     2.4    3.015215404  1.67980599  .446746302  .501288419  1.04122774
     3.2    2.862253691  1.77435016  .381417406  .497096702  1.04592662
     4.2    2.842492027  1.77587979  .355688474  .484648856  1.05452105
     5.2    2.774954075  1.84630743  .316848956  .487136963  1.04916974
     6.1    2.739028023  1.88933586  .272297566  .479281555  1.02261888
     7.2    2.732676730  1.87438076  .253429991  .477327661  1.00947085
     8.2    2.722871565  1.85039830  .207442976  .474980970  .989281196
     9.1    2.720087515  1.84350133  .177596152  .475981089  .980246052
    10.1    2.717317288  1.85310125  .170051321  .480524380  .982161315
    11.1    2.715296437  1.87031822  .156410371  .483729439  .989655854
    12.1    2.714882828  1.87943059  .148329383  .483664813  .992109745
    13.1    2.714583216  1.89002370  .135982847  .483182911  .992708463
    14.1    2.714468699  1.89878048  .126654949  .482933055  .992297007
    15.1    2.714446891  1.90541413  .114894214  .482765700  .991049154
    16.1    2.714418034  1.90849010  .113399391  .482842739  .991408546
    17.1    2.714414506  1.91068588  .110770177  .482861180  .991505657
    18.1    2.714410472  1.91524997  .105052150  .482874611  .991649282
    19.1    2.714409463  1.91814857  .101487641  .482872614  .991665991
    20.1    2.714408944  1.92112337  .097778753  .482870409  .991646385
    21.1    2.714408746  1.92360334  .094708690  .482869446  .991635946
    22.1    2.714408661  1.92586981  .091889164  .482869300  .991632473
    23.1    2.714408625  1.92792251  .089355678  .482869469  .991635862
    24.1    2.714408608  1.92985590  .086947995  .482869563  .991635564
    25.1    2.714408601  1.93167447  .084703644  .482869636  .991637596
    26.1    2.714408598  1.93319119  .082819135  .482869583  .991636555
    27.1    2.714408597  1.93462952  .081036314  .482869564  .991636334
    28.1    2.714408597  1.93597363  .079370159  .482869559  .991636289
    29.1    2.714408596  1.93716406  .077894450  .482869562  .991636326
    30.1    2.714408596  1.93852131  .076211958  .482869565  .991636366
    31.1    2.714408596  1.93926036  .075295788  .482869566  .991636370
    32.1    2.714408596  1.94074430  .073456235  .482869566  .991636369
    33.1    2.714408596  1.94213462  .071732723  .482869565  .991636364
    34.2    2.714408596  1.94217524  .071682362  .482869565  .991636364
    35.2    2.714408596  1.95271910  .058611916  .482869555  .991636292
    36.1    2.714408596  1.95792454  .052158627  .482869551  .991636207
    37.1    2.714408596  1.95793888  .052140921  .482869568  .991636374

Run stopped after 37 major iterations.
Optimal solution found.





Nonlinear Regression Summary Statistics     Dependent Variable FFA

  Source                 DF  Sum of Squares  Mean Square

  Regression              4       26.23985        6.55996
  Residual               59        2.71441         .04601
  Uncorrected Total      63       28.95426

  (Corrected Total)      62        5.51318

  R squared = 1 - Residual SS / Corrected SS =     .50765

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         1.957938883  5.80958E+14 -1.16249E+15  1.16249E+15
  GSD         .052140921  7.20182E+14 -1.44108E+15  1.44108E+15
  EMIN        .482869568   .031625157   .419587775   .546151361
  EMAX        .991636374   .064671847   .862228306  1.121044441

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000   -1.0000     .0000     .0000
  GSD        -1.0000    1.0000     .0000     .0000
  EMIN         .0000     .0000    1.0000     .0000
  EMAX         .0000     .0000     .0000    1.0000

Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED         1.9579389   .7834651   .4033741  3.5125037  1.8601696  4.0000000
  GSD         .0521409   .1292056  -.2042311   .3085129   .0100000   .1564051
  EMIN        .4828696   .0668791   .3501669   .6155723   .4494022   .6893333
  EMAX        .9916364   .5805327  -.1602665  2.1435392  -.2005447  1.1122006

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    -.1183     .7626    -.4536
  GSD         -.1183    1.0000    -.3229     .8133
  EMIN         .7626    -.3229    1.0000    -.7468
  EMAX        -.4536     .8133    -.7468    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:58:01
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wlb = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1.46 GSD=1.023 EMIN=1.58 EMAX=3.53 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR bilirubi
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 3.477; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:01.52

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.3    937.2720127  1.46000000  1.02300000  1.58000000  3.53000000
     1.3    365.2044339  1.36564170  .995374289  2.61201081  8.90761133
     2.2    279.3417601  1.56274727  .903384805  2.36816689  9.53675464
     3.3    179.1367920  1.70764117  .747093595  1.95387322  10.8498983
     4.3    160.6739380  1.80255098  .707555309  1.98104082  11.0716731
     5.4    127.0952608  1.84781653  .541851516  1.51044591  11.8814516
     6.3    126.2051383  1.85440212  .527348412  1.54192862  11.8637574
     7.2    124.5060262  2.03667746  .688843347  1.46414462  12.9380796
     8.1    121.8634489  2.00126919  .569388266  1.65652970  12.5295240
     9.1    121.7672320  1.97800379  .553184797  1.65956072  12.3678223
    10.1    121.7608699  1.97725685  .553287557  1.65208447  12.3536251
    11.1    121.7602050  1.97700449  .552548275  1.65162489  12.3432866
    12.1    121.7602043  1.97705910  .552623186  1.65164150  12.3436797

Run stopped after 12 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BILIRUBI

  Source                 DF  Sum of Squares  Mean Square

  Regression              4     1909.75980      477.43995
  Residual               59      121.76020        2.06373
  Uncorrected Total      63     2031.52000

  (Corrected Total)      62      979.85714

  R squared = 1 - Residual SS / Corrected SS =     .87574

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         1.977059105   .095902929  1.785157788  2.168960422
  GSD         .552623186   .119212435   .314079654   .791166717
  EMIN       1.651641500   .244020444  1.163357720  2.139925281
  EMAX      12.343679680   .871923696 10.598964395 14.088394965

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .5209     .1188     .7835
  GSD          .5209    1.0000    -.3165     .7128
  EMIN         .1188    -.3165    1.0000    -.1384
  EMAX         .7835     .7128    -.1384    1.0000




Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED         1.9770591   .3049881  1.3718966  2.5822216  1.6863504  2.9151533
  GSD         .5526232   .2236163   .1089199   .9963265   .2376558  1.1102856
  EMIN       1.6516415   .0980377  1.4571134  1.8461696  1.4368775  1.8537053
  EMAX      12.3436797  2.8532870  6.6821393 18.0052200 10.4628758 20.4885425

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .8800    -.1571     .9355
  GSD          .8800    1.0000    -.3875     .7961
  EMIN        -.1571    -.3875    1.0000    -.1653
  EMAX         .9355     .7961    -.1653    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:58:02
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wlb = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	63
Syntax		MODEL PROGRAM ED=1 GSD=.19 EMIN=192 EMAX=230 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR asat
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:02.02

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.4    2793538.369  1.00000000  .190000000  192.000000  230.000000
     1.1    861946.3959  1.06495418  .186102749  187.842932  521.066246
     2.3    714213.8534  1.29951450  .172029130  172.831072  539.227892
     3.5    688105.4654  1.30681148  .306669325  172.936038  539.237900
     4.1    675690.4493  1.35927377  .299317950  170.437626  540.100997
     5.4    670307.2705  1.38283824  .280932445  178.885302  541.171025
     6.3    642917.7877  1.69935000  1.11328664  157.251445  701.398200
     7.2    610260.2977  1.68804011  .844532483  154.292948  665.479992
     8.2    604923.0674  1.68866328  .800944118  158.324571  661.392138
     9.1    597979.6294  1.71241811  .589065077  179.955512  645.050554
    10.1    594746.7855  1.73316980  .719370014  174.225515  662.812727
    11.1    594309.0857  1.73961941  .700515980  174.406791  662.512706
    12.1    594232.9433  1.74744128  .697252209  174.933382  664.460836
    13.1    594213.4289  1.75189085  .701106145  174.806206  666.289453
    14.1    594207.2341  1.75488526  .705573878  174.667708  667.777787
    15.1    594207.1710  1.75495996  .706000442  174.643961  667.865461
    16.1    594207.1704  1.75493421  .706009148  174.642935  667.862837

Run stopped after 16 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable ASAT

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  7868778.82962  1967194.70741
  Residual               59   594207.17038    10071.30797
  Uncorrected Total      63  8462986.00000

  (Corrected Total)      62  2495174.88889

  R squared = 1 - Residual SS / Corrected SS =     .76186

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         1.754934206   .182374486  1.390003703  2.119864710
  GSD         .706009148   .222131215   .261525614  1.150492682
  EMIN      174.64293485 18.927388830 136.76931728 212.51655241
  EMAX      667.86283702 64.033319315 539.73246103 795.99321302




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .5662     .1027     .8173
  GSD          .5662    1.0000    -.3788     .7547
  EMIN         .1027    -.3788    1.0000    -.1815
  EMAX         .8173     .7547    -.1815    1.0000

Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED         1.7549342   .6443089   .4764856  3.0333828  1.1032415  4.0000000
  GSD         .7060091   .4270727  -.1413956  1.5534139   .0792884  1.8566858
  EMIN      174.642935 12.2081215 150.419373 198.866496 150.343858 200.927645
  EMAX      667.862837 356.686505 -39.880573 1375.60625 506.818185 2144.59272

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .9288    -.4064     .9545
  GSD          .9288    1.0000    -.5287     .8609
  EMIN        -.4064    -.5287    1.0000    -.4898
  EMAX         .9545     .8609    -.4898    1.0000

